| Budget Amount *help |
¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2016: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
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| Outline of Final Research Achievements |
We studied a methodology for linking lexical-semantic resources with different conceptual systems in different languages on the basis of Linked Data. The key element of the proposal is “linking by meaning”: the probabilistic correspondences of concept-defining words and the semantic similarity between gloss texts are utilized in a machine learning-based framework. Through empirical results, we confirmed that the fundamental applicability of the method, and mined future research issues. Moreover, in accordance with the progress of the research, we carried out researches on the computation of cross-lingual semantic sentential similarities and the utilization of distributed representation of word meanings.
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